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<div class="iris_headline">IRIS Toolbox Reference Manual</div>




<h2 id="VAR/xasymptote">xasymptote</h2>
<div class="headline">Set or get asymptotic assumptions for exogenous inputs</div>

<h4 id="syntax">Syntax</h4>
<pre><code>V = xasymptote(V,X0)
X = xasymptote(V)</code></pre>
<h4 id="input-arguments">Input arguments</h4>
<ul>
<li><p><code>V</code> [ VAR ] - VAR object.</p></li>
<li><p><code>X0</code> [ numeric ] - A Nx-NGrp-by-NAlt vector or matrix of asymptotic assumptions for exogenous inputs, where Nx is the number of exogenous variables, NGrp is the number of groups in panel VARs, and NAlt is the number of alternative parameterizations.</p></li>
</ul>
<h4 id="output-arguments">Output arguments</h4>
<ul>
<li><code>V</code> [ VAR ] - VAR object.</li>
</ul>
<h4 id="description">Description</h4>
<p>The asymptotic assumptions for exogenous inputs are used in the following contexts:</p>
<ul>
<li><p>to compute the asymptotic mean of the VAR process, <a href="../VAR/mean.html"><code>mean</code></a>;</p></li>
<li><p>to set up initical conditions for resampling, <a href="../VAR/resample.html"><code>resample</code></a>, when they are not supplied in the input database.</p></li>
</ul>
<p>If any of the three dimensions of the vector/matrix <code>X0</code> is size 1, it will be automatically expanded to its appropriate size.</p>
<p>The asymptotic assumptions are reset to <code>NaN</code> each time the VAR object is estimated using the function <a href="../VAR/estimate.html"><code>estimate</code></a>.</p>
<h4 id="example">Example</h4>

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<div class="copyright">IRIS Toolbox. Copyright &copy; 2007-2015 IRIS Solutions Team.</div>
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